The parents' internet use and children's extracurricular tutoring class participation.

The educational burden from extracurricular tutoring class has become a pressing social issue in China. This study used data from the China family panel studies (CFPS) in 2014, 2016, and 2018 to empirically analyze the impact of Internet usage on children's participation in extracurricular tutoring class. There are many factors that influence parents' decisions to enroll their children in extracurricular tutoring class. These factors include family income status, the level of importance parents place on their children's education, the marginal returns on educational investment, academic pressure, etc. However, in today's digitalized society, the widespread use of the internet will also become an important influencing factor in parents' decisions regarding educational investment. The study finds that, parents by using the Internet significantly increase the probability of enrolling their children in extracurricular tutoring class. Through mechanism regression analysis, it is concluded that internet usage has a positive influence on parents enrolling their children in extracurricular tutoring class by increasing the frequency of social interaction and raising parents' educational expectations for their children. Based on the empirical results, the following policy suggestions were proposed: 1. Schools should establish a more comprehensive after-school education service system to improve the engagement of students in compulsory education; 2. The government can enhance the accessibility and optimization of educational resources by increasing investment in education, improving the quality of in-school education, and optimizing the management and supervision of extracurricular tutoring class. This ensures that students can access high-quality educational services.

A benchmark dataset and case study for Chinese medical question intent classification.

BACKGROUND: To provide satisfying answers, medical QA system has to understand the intentions of the users' questions precisely. For medical intent classification, it requires high-quality datasets to train a deep-learning approach in a supervised way. Currently, there is no public dataset for Chinese medical intent classification, and the datasets of other fields are not applicable to the medical QA system. To solve this problem, we construct a Chinese medical intent dataset (CMID) using the questions from medical QA websites. On this basis, we compare four intent classification models on CMID using a case study. METHODS: The questions in CMID are obtained from several medical QA websites. The intent annotation standard is developed by the medical experts, which includes four types and 36 subtypes of users' intents. Besides the intent label, CMID also provides two types of additional information, including word segmentation and named entity. We use the crowdsourcing way to annotate the intent information for each Chinese medical question. Word segmentation and named entities are obtained using the Jieba and a well-trained Lattice-LSTM model. We loaded a Chinese medical dictionary consisting of 530,000 for word segmentation to obtain a more accurate result. We also select four popular deep learning-based models and compare their performances of intent classification on CMID. RESULTS: The final CMID contains 12,000 Chinese medical questions and is organized in JSON format. Each question is labeled the intention, word segmentation, and named entity information. The information about question length, number of entities, and are also detailed analyzed. Among Fast Text, TextCNN, TextRNN, and TextGCN, Fast Text and TextCNN models have achieved the best results in four types and 36 subtypes intent classification, respectively. CONCLUSIONS: In this work, we provide a dataset for Chinese medical intent classification, which can be used in medical QA and related fields. We performed an intent classification task on the CMID. In addition, we also did some analysis on the content of the dataset.

Synthesis and Biological Evaluation of Indole-2-carbohydrazide Derivatives as Anticancer Agents with Anti-angiogenic and Antiproliferative Activities.

A novel series of indole-2-carbohydrazide derivatives were synthesized, characterized, and evaluated for their antiproliferative activities against two cancer cell lines, HCT116 and SW480, and a normal human fetal lung fibroblast cell line, MRC-5. Among this series, compound 24 f displayed potent cytotoxic activities in vitro against HCT116 and SW480 cell lines with GI50 values of 8.1 and 7.9 µm, respectively, and was inactive against MRC-5 cells. The newly synthesized compounds were also evaluated for anti-angiogenesis capabilities by chick chorioallantoic membrane, human umbilical vein endothelial cell (HUVEC) migration, and endothelial microtubule formation assays. Moreover, the effects of 24 f on the vascular endothelial growth factor receptor-2 and the signaling pathway in HUVECs indicated that this compound inhibits VEGFR-2 and its downstream related proteins. These results indicate that compound 24 f, as well as the other derivatives, are promising inhibitors of angiogenesis.

An Isoquinolin-1(2H)-Imine Derivative Induces Cell Death via Generation of Reactive Oxygen Species and Activation of JNK in Human A549 Cancer Cells.

Compound 11-benzoyl-10-chloro-7,9-difluoro-6-imino-2,3,4,6-tetrahydro-1H-pyrimido[1,2-b]isoquinoline-8-carbonitrile (HC6h) is a novel polyhalo 1,3-diazaheterocycle fused isoquinolin-1(2H)-imines derivative, which displays good anticancer activity and low toxicity in vivo. However, the underlying anticancer mechanisms have not previously been identified. The proliferation of A549 was assessed by MTT assay. The reactive oxygen species (ROS) level was assessed in A549 with a H2 DCFDA probe. Mitochondrial membrane potential was measured using the JC-1 staining. Apoptosis were measured by annexin-V/PI assay and autophagy by acridine orange staining and GFP-LC3 fluorescence assay. The expression of autophagic and apoptotic proteins was determined by Western blot. The compound HC6h increased accumulation of vesicles, acridine orange-stained cells and LC3-II in A549 cells. Inhibition of compound HC6h-induced autophagy by bafilomycin A1 increased apoptosis. Compound HC6h enhanced activation of caspase-3, caspase-9 and PARP cleavage in A549 cells. Compound HC6h leads to the rapid generation of intracellular ROS. Moreover, compound HC6h induced phosphorylation of JNK and was conferred by the increased ROS levels. Furthermore, down-regulation of JNK attenuated autophagic and apoptotic effect in response to HC6h. The induction of ROS upon HC6h treatment leads to the activation of JNK that mediates autophagy and apoptosis in human A549 cancer cells. J. Cell. Biochem. 118: 4394-4403, 2017. © 2017 Wiley Periodicals, Inc.

Paraoxonase (PON1) polymorphisms Q192R and L55M are not associated with human longevity: A meta-analysis.

BACKGROUND: Genetic mutations in the paraoxonase 1 (PON1) encoding gene have been considered to affect mortality and of these the functional promoter region polymorphisms Q192R and L55M are among the most widely studied. OBJECTIVE: The aim of this study was to determine whether the Q192R and L55M polymorphisms of PON1 can increase susceptibility to longevity. A meta-analysis was performed to obtain a comprehensive estimation of the association between Q192R and L55M and longevity in long-lived individuals (LLIs) aged 80 years or more. MATERIAL AND METHODS: A search was carried out in the PubMed database (from January 2001 to May 2014) to obtain data on the role of PON1 polymorphisms in longevity and a pooled odds ratio (OR) with a 95% confidence interval (CI) was used to assess the associations. RESULTS: The meta-analysis was based on 9 studies of PON1 Q192R and 5 studies of PON1 L55M that covered a total of 5086 LLIs and 4494 controls. Overall, significantly increased risks were not observed for either Q192R or L55M. The results of the statistical calculations were as follows: R vs. Q (additive model): OR = 1.080, 95% CI = 0.989-1.179, p = 0.088 and RR + RQ vs. QQ (dominant model): OR = 1.099, 95% CI = 0.975-1.240, p = 0.124; M vs. L (additive model): OR = 0.946, 95% CI = 0.862-1.039, p = 0.245 and MM + ML vs. LL (dominant model): OR = 0.951, 95% CI = 0.836-1.081, p = 0.442 for Q192R and L55M, respectively. The results did not change with an age cut-off among the LLIs of ≥ 93 years. CONCLUSION: No evidence that the Q192R and L55M polymorphisms of PON1 impacted on the probability of reaching extreme ages was found although this cannot be completely ruled out; however, the possibility of population-specific effects due to the influence of and interaction between different genes or environmental factors could not be ruled out.

[Synthetic lethal genes to mutant p53].

Targeted therapy has become a powerful approach for cancer treatment. Better understanding of oncogenes as well as synthetic lethal interactions with oncogenes will lead to new strategies for tumor-specific treatment. It is well known that mutant p53 plays an important role in tumorigenesis and tumor development. Thus, understanding the synthetic lethal relationship between p53 mutations and interacting genes in tumor is critical for the personalized treatments of p53 mutant tumors. Synthetic lethal genes to mutant p53 can be divided into cell cycle regulators and non-cell cycle regulators. This paper review show these two types of target genes contribute to synthetic lethal interactions with p53 mutations and potential applications of these interactions in anticancer therapy.

New anti-angiogenic leading structure discovered in the fruit of Cimicifuga yunnanensis.

Cimyunnins A-C (1-3), characterized with an unusual fused cyclopentenone ring G, together with cimyunnin D (4), possessing a highly rearranged γ-lactone ring F, were characterized from the fruit of Cimicifuga yunnanensis. Their structures were elucidated by spectroscopic analysis, X-ray diffraction, and density functional theory calculations. In addition, cimyunnin A exhibited comparable anti-angiogenic activities to those of sunitinib, a clinically-used first-line angiogenesis inhibitor, in the in vitro and ex vivo studies.

Association between rs1344706 of ZNF804A and schizophrenia: a meta-analysis.

Schizophrenia is one of the most serious mental diseases found in humans. Previous studies indicated that the single nucleotide polymorphism (SNP) rs1344706 in the gene ZNF804A encoding zinc finger protein 804A was associated with schizophrenia in Caucasian population but not in Chinese Han population. However, current results are conflicting in Asian population. In the present study, a meta-analysis was performed to revisit the association between rs1344706 and the risk of schizophrenia in Asian, Caucasian and other populations. Electronic search of PubMed database identified 25 case-control studies with available genotype frequencies of rs1344706 for the meta-analysis, involving a total of 15,788 cases and 22,654 controls. A pooled odds ratio (OR) with 95% confidence interval (CI) was used to assess the association. The current meta-analysis showed an association between rs1344706 and schizophrenia in Caucasian populations (P=0.028, OR=1.138, 95% CI: 1.014-1.278; P=0.004 for heterogeneity) and Asian populations (P=0.008, OR=1.092, 95% CI: 1.023-1.165; P=0.001 for heterogeneity), but not in other populations (P=0.286, OR=1.209, 95% CI: 0.853-1.714, P=0.120 for heterogeneity). Egger's test (P>0.05) and Begg's test (P>0.05) are both suggestive of the lack of publication bias for the included studies. Thus, the absence of association in other populations suggests a genetic heterogeneity in the susceptibility of schizophrenia and demonstrates the difficulties in replicating genome-wide association study findings regarding schizophrenia across different ethnic populations. To validate the association between rs1344706 and schizophrenia, further studies with larger participant populations worldwide are needed.